Rather than focusing on simulation as an end in itself, our objective is to obtain a full understanding of the specific system on trial.

IBAF creates holistic virtual prototypes or applies subsystem simulations as a basis for overall system design and optimisation in line with client requirements. The level of detail of the models depends on the development goal and is selected with a view to maximising time and cost efficiency. The possibilities range from simple torsional vibrational chains to detailed 3D models with partially elastic bodies, with and without co-simulation of drive and control technology including the assistance systems.

Our development approach

Our simulation models are as individual as the machines and requirements of our customers. With our many years of experience, we can configure – from the multitude of variants and extensions available – the appropriate model for your application, yet still allow for a sufficient number of further degrees of freedom to be calculated as part of the project. We attach particular importance to realistically replicating the machine behaviour and the work processes, paired with meaningful interfaces in the system so as to fully enable comparison with measurement results or facilitate the definition of load assumptions in respect of subsystems.

Areas of application

• Verification of concept ideas; functional verification and optimisation
• Definition of load assumptions for subsystems
• Concept development for drive and control systems and assistance systems
• Design of energy-efficient power train systems
• Optimisation of vibration and control behaviour
• Optimisation of process-machine interaction through coupling with DEM and CFD simulations

Technical customer benefits

• Virtual prototypes
• Close replication of system behaviour
• Development of a thorough system understanding
• System comparisons and concept optimisation during the early phase of development
• Support for the market launch of new systems

Economic customer benefits

• Optimal configuration, selection and specification of components
• Optimally tuned, efficient system behaviour
• Reduction of prototype costs and testing expense
• Reduced development time